Data Product Owner – Agile Business Analyst, Medallion, Data, Consulting, 10+ years

Role Overview

The Data Product Owner serves as the primary point of contact between client stakeholders and delivery teams on data programs and projects, making sure that business needs are well-defined, prioritized, and delivered according to Agile methodologies. This position combines analytical skills, stakeholder interaction, and direct collaboration within a data and analytics-centered development team and with the client.

Anticipated start date: December 2026

Requirements Management

• Develop comprehensive user stories and acceptance criteria, breaking down Epics for integration and reporting scenarios.
• Lead feature or data product kickoffs to guarantee business context and delivery alignment.
• Organize estimation sessions and ensure story readiness for effective sprint planning.
• Work closely with developers and testers to confirm completion of stories and secure Client approval.
• Collaborate with technical leads and client SMEs to confirm requirements are complete, precise, and technically viable.

Backlog Management

• Assist the Client in overseeing and prioritizing the product backlog to keep it aligned with business objectives.
• Run backlog refinement meetings with the team to clarify requirements, dependencies, and priorities.
• Make sure stories fulfill the team’s definition of ready before sprint planning.
• Monitor and share backlog status and sprint progress using Agile tools (e.g., Jira).
• Detect and escalate risks or obstacles affecting backlog items or delivery workflow.
• Keep track of dependencies and ensure alignment across epics, features, and stories.

Stakeholder Engagement

• Serve as the intermediary between client stakeholders and delivery teams, ensuring needs and priorities are communicated clearly.
• Facilitate stakeholder alignment and manage sign-offs at important delivery milestones.
• Collaborate with Account Managers, Program and Project Managers, Tech Leads, Developers, and Testers to resolve client issues and achieve results.

Data Analysis

• Support mapping activities between data products and data sources, maintaining consistency with the data catalogue.
• Prepare and review target-to-source field mappings for specific data products.
• Comprehend and explain data reconciliation, data quality (DQ), and transformation rules within the medallion architecture for each data product.

Agile Process Support

• Lead Agile ceremonies such as daily stand-ups, backlog refinement, sprint planning, retrospectives, and show & tell sessions.
• Assist with story validation and sign-off during sprints.
• Manage and communicate delivery roadmaps using Jira or similar platforms.
• Take part in continuous improvement sessions and retrospectives to boost delivery effectiveness.

Reporting and Success Metrics

• Monitor and report on team health metrics via retrospectives and delivery KPIs.
• Generate end-of-sprint reports detailing story progress, carried-over tasks, and upcoming priorities.
• Support automated reporting and provide client transparency regarding progress and blockers.

Account Growth Support

• Work with account and delivery leadership (PO, Program/Project Manager, Account Manager, Tech Lead) as part of the Account Leadership Team (CAT).
• Deliver analytical insights into client challenges and help identify areas for improvement or growth.

Skills & Experience

• Demonstrated experience as a Data Business Analyst in Agile environments (Scrum or Kanban) for 10+ years
• Expertise in user story creation, backlog management, and stakeholder facilitation.
• Strong analytical and problem-solving abilities, capable of bridging business and technical perspectives.
• Skilled with Jira, Confluence, and Agile reporting tools.
• Excellent communication, influencing, and presentation skills.
• Extensive experience in data and analytics projects, including data lineage, transformation, and quality.
• Travel for this position is determined by client requirements, and some travel may be necessary depending on the client.
• Advanced knowledge of SQL
• Familiarity with BI/reporting and DWH integration scenarios
• Understanding of the medallion data architecture and/or contemporary data platforms (e.g., Databricks, Snowflake).
• Background working in technology consulting or data transformation initiatives.

Interview Process

• Introductory call with TABP: 45 minutes
• Take-home technical assignment
• Technical interview with Head of Data Products + Senior DPO: 75 minutes
• Cultural chat with CSO: 45 minutes

Why join Infinite Lambda

• We encourage your development with dedicated learning time, access to high-quality resources, and a culture of knowledge sharing;
• You work independently in a supportive environment and can take as much paid holiday as you need;
• Projects are varied, offering plenty of chances to try out new technologies;
• Benefits include private health insurance, a work-from-home budget, a company MacBook, and more.

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Please submit your CV in English in PDF format.

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Please note that as we are an international organization, all internal communication is conducted in English.

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To ensure legislative compliance, applicants may be asked to provide up-to-date proof of a clean criminal record. Examples of such proof include extract n°3 of the Criminal Record (France), Büntetlen előélet (Hungary), Disclosure and Barring Service (DBS) check (UK), an extract from the Criminal Register (Slovakia), or a country-specific equivalent. Providing proof of a clean criminal record is the final step in the hiring process and will only be requested should the applicant accept an offer from Infinite Lambda.

Infinite Lambda is an equal opportunity employer. Our inclusive culture values diversity and treats everyone with dignity and respect. Accordingly, our selection process will never discriminate against applicants based on any characteristic, including disability, age, gender, sexual orientation, family status, race, faith, or any other factor.